算法工程师
岗位职责: 1. 黑产挖掘与图谱分析:结合海量交易行为与链上数据,利用图神经网络(GNN)等算法,挖掘并监控线上羊毛情报及高危地址网络。 2. 风控策略辅助与风险预测:利用 AI 辅助进行风控规则梳理、策略优化,自动挖掘现有风控规则的漏洞,研发前瞻性的风险预测模型,实现防患于未然。 3. 市场操纵与违规交易检测:针对洗盘(Wash Trading)、对敲、虚假报价(Spoof
加载中...
At Rerun, we’re building a new multimodal data stack for physical AI. Large parts of the physical-world economy will be transformed by these technologies, and we're building the data infrastructure and tools that enable it to happen. Data volumes grow big quickly with these applications and performance matters everywhere; from micro interactions to high throughput jobs.
With multimodal data stack we mean tools for extraction, ingestion, storage, querying, streaming, and visualization of temporal multimodal data. Rerun’s open source project is already loved by some of the best teams in the world, and focuses on visualizing and handling multimodal logs. You'll join a newly formed team building out Rerun's commercial offering for ingesting, indexing and querying multimodal data at scale.
Most of all we hope you're excited to build some really cool technology that will have a real impact on the world with us!
If you find that you don't fit neatly into this or any of the other open roles, we're not that rigid and are generally looking for great developers who can contribute to what we're building. Just go ahead and apply to the one you think is the closest and we'll take it from there!
注册并登录后即可查看
岗位职责: 1. 黑产挖掘与图谱分析:结合海量交易行为与链上数据,利用图神经网络(GNN)等算法,挖掘并监控线上羊毛情报及高危地址网络。 2. 风控策略辅助与风险预测:利用 AI 辅助进行风控规则梳理、策略优化,自动挖掘现有风控规则的漏洞,研发前瞻性的风险预测模型,实现防患于未然。 3. 市场操纵与违规交易检测:针对洗盘(Wash Trading)、对敲、虚假报价(Spoof
岗位职责: 1. Agent 驱动开发 - 设计并实现 Agent-driven development workflow - 构建多 Agent 协作流程(开发、测试、评审、部署等) - 将复杂开发任务拆解为可由 Agent 执行的结构化任务 - 沉淀可复用的 Agent pipeline,提高整体开发效率 2. Vibe Coding 工程实践 -
参与后端架构设计与核心模块开发,保证 API 高可用、高并发。 负责数据模型、MySQL / Redis / MongoDB 优化和维护。 搭建并维护基础 AI 推理服务(模型部署、监控、告警)。 实现多 Agent 协同与任务调度,确保业务流程顺畅。 和产品、前端、运营配合,按周迭代需求。 3–5 年 Go 后端开发经验,基础扎实,熟悉 Gin / GO
1 、负责通过基于大语言模型及多模态大模型的微调、prompts 调优、指令构建及演化技术,将大模型的生成、理解、交互能力在公司核心业务场景应用落地,包括但不限于智能营销系统、收银台智能推荐、金融用户行为序列理解等; 2 、负责 LLM 及多模态大模型的应用中台及相关技术模块搭建,包括但不限于 Agents 、RAG 、function call 、system prompts 等,探索